Statistical Analysis of the Pre- and Post-Surgery in the Healthcare Sector Using High Dimension Segmentation

2020 ◽  
pp. 159-174
Author(s):  
Soobia Saeed ◽  
Afnizanfaizal Abdullah ◽  
N. Z. Jhanjhi ◽  
Mehmood Naqvi ◽  
Mamoona Humayun
F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 852 ◽  
Author(s):  
Ayodotun Stephen Ibidunni ◽  
Tomike Olawande ◽  
Maxwell Olokundun ◽  
Charles Iruonagbe ◽  
Iyanu Adelekan

Background: Workplace diversity is increasingly gaining the attention of healthcare organizations, especially in developing countries like Nigeria. However, little is understood from existing literature about how workforce diversity affects employees’ satisfaction and organisational commitment in the workplace. Consequently, this paper showed the direct and mediating relationships between diversity of workforce, job satisfaction and employee commitment to the organization. Methods: Copies of the structured questionnaire have been given to 133 public healthcare employees in Nigeria’s Ministry of Health in Lagos state.  Statistical analysis for the study included descriptive measures and multi-variate analysis, using structural equation modelling. Results: Outcomes from statistical analysis supports direct and mediating relationships between the research variables. Gender and ethical diversity had significant influences on job satisfaction at r = 0.35 (p < 0.05) and r = 0.28 (p < 0.05) respectively. The following mediating relationships were also statistically confirmed: job satisfaction related with affective commitment (r = 0.41, p < 0.05) and normative commitment (r = 0.26, p < 0.05). Conclusions: Based on the results of the statistical analysis, the study concludes that there is a relationship between diversity of employees and job satisfaction, diversity of employees and organizational commitment and the influence of work satisfaction on organizational commitment.


2012 ◽  
Vol 40 (1) ◽  
pp. 436-465 ◽  
Author(s):  
Jushan Bai ◽  
Kunpeng Li

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.


Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.


Author(s):  
S. I. Coleman ◽  
W. J. Dougherty

In the cellular secretion theory of mineral deposition, extracellular matrix vesicles are believed to play an integral role in hard tissue mineralization (1). Membrane limited matrix vesicles arise from the plasma membrane of epiphyseal chondrocytes and tooth odontoblasts by a budding process (2, 3). Nutritional and hormonal factors have been postulated to play essential roles in mineral deposition and apparently have a direct effect on matrix vesicles of calcifying cartilage as concluded by Anderson and Sajdera (4). Immature (75-85 gm) Long-Evans hooded rats were hypophysectomized by the parapharyngeal approach and maintained fourteen (14) days post-surgery. At this time, the animals were anesthetized and perfusion fixed in cacodylate buffered 2.5% glutaraldehyde. The proximal tibias were quickly dissected out and split sagittally. One half was used for light microscopy (LM) and the other for electron microscopy (EM). The halves used for EM were cut into blocks approximately 1×3 mm. The tissue blocks were prepared for ultra-thin sectioning and transmission EM. The tissue was oriented so as to section through the epiphyseal growth plate from the zone of proliferating cartilage on down through the hypertrophic zone and into the initial trabecular bone. Sections were studied stained (double heavy metal) and unstained.


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